Tunisian OCT Dataset for Multi-Disease Retinal Classification

The Retinal-OCT-Clinical-Dataset is a collection of clinically acquired retinal OCT (Optical Coherence Tomography) images, designed to serve as a benchmark for deep learning models in retinal disease classification.The dataset includes images from multiple retinal pathologies:AMD (Age-related Macular Degeneration)DME (Diabetic Macular Edema)RRD (Rhegmatogenous Retinal Detachment)Healthy/Normal casesThis dataset is suitable for:Training and evaluating deep learning models for retinal disease detection.Benchmarking classification performance across multiple retinal pathologies.

Access to the dataset is granted after approval of a signed Data Use Agreement.The Data Agreement is available on the project GitHub repository.Applicants must download the agreement, sign it, and send it by email.After approval, download access will be granted manually.